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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_factor_analysis.wasp
Title produced by softwareFactor Analysis
Date of computationWed, 04 Jan 2017 13:47:31 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2017/Jan/04/t148354067171d9f34t12ykyzo.htm/, Retrieved Tue, 14 May 2024 17:07:19 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Tue, 14 May 2024 17:07:19 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1	0	0	0	2.23	0	36	30	34	47	27	6	5	16
2	0	0	NA	2.62	0	20	79	1	44	7	29	15	5
3	0	0	NA	2.56	0	36	36	27	32	27	23	14	5
4	0	1	1	1	1	34	58	8	14	10	2	26	48
5	0	0	0	1	1	17	50	33	4	38	0	50	8
6	0	1	1	5	1	26	39	35	17	26	0	48	9
7	0	1	NA	4.28	1	28	44	28	0	0	0	100	0
8	1	2	1	1	0	43	24	33	11	19	0	58	11
9	1	2	0	3.16	0	0	100	0	34	29	1	29	8
10	1	1	0	NA	0	45	30	24	27	30	9	6	27
11	1	2	NA	1.8	0	17	81	3	16	31	10	38	6
12	1	2	0	2.12	0	86	14	0	14	86	0	0	0
13	1	2	NA	2.48	0	32	55	13	35	25	3	23	15
14	1	2	NA	2.37	0	22	61	17	44	20	10	26	0

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'George Udny Yule' @ yule.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 0 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]0 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'George Udny Yule' @ yule.wessa.net






Rotated Factor Loadings
VariablesFactor1Factor2
Sample_Scale-0.4190.633
Type_Organizer-0.0690.583
Absolute_Relative0.712-0.116
Variables2Indicator0.175-0.302
Level_Synthesis0.836-0.263
%P0.030.782
%S-0.356-0.561
%R0.584-0.125
%C-0.789-0.301
%N-0.2650.799
%H-0.634-0.51
%E0.78-0.24
%G0.183-0.037

\begin{tabular}{lllllllll}
\hline
Rotated Factor Loadings \tabularnewline
Variables & Factor1 & Factor2 \tabularnewline
Sample_Scale & -0.419 & 0.633 \tabularnewline
Type_Organizer & -0.069 & 0.583 \tabularnewline
Absolute_Relative & 0.712 & -0.116 \tabularnewline
Variables2Indicator & 0.175 & -0.302 \tabularnewline
Level_Synthesis & 0.836 & -0.263 \tabularnewline
%P & 0.03 & 0.782 \tabularnewline
%S & -0.356 & -0.561 \tabularnewline
%R & 0.584 & -0.125 \tabularnewline
%C & -0.789 & -0.301 \tabularnewline
%N & -0.265 & 0.799 \tabularnewline
%H & -0.634 & -0.51 \tabularnewline
%E & 0.78 & -0.24 \tabularnewline
%G & 0.183 & -0.037 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=1

[TABLE]
[ROW][C]Rotated Factor Loadings[/C][/ROW]
[ROW][C]Variables[/C][C]Factor1[/C][C]Factor2[/C][/ROW]
[ROW][C]Sample_Scale[/C][C]-0.419[/C][C]0.633[/C][/ROW]
[ROW][C]Type_Organizer[/C][C]-0.069[/C][C]0.583[/C][/ROW]
[ROW][C]Absolute_Relative[/C][C]0.712[/C][C]-0.116[/C][/ROW]
[ROW][C]Variables2Indicator[/C][C]0.175[/C][C]-0.302[/C][/ROW]
[ROW][C]Level_Synthesis[/C][C]0.836[/C][C]-0.263[/C][/ROW]
[ROW][C]%P[/C][C]0.03[/C][C]0.782[/C][/ROW]
[ROW][C]%S[/C][C]-0.356[/C][C]-0.561[/C][/ROW]
[ROW][C]%R[/C][C]0.584[/C][C]-0.125[/C][/ROW]
[ROW][C]%C[/C][C]-0.789[/C][C]-0.301[/C][/ROW]
[ROW][C]%N[/C][C]-0.265[/C][C]0.799[/C][/ROW]
[ROW][C]%H[/C][C]-0.634[/C][C]-0.51[/C][/ROW]
[ROW][C]%E[/C][C]0.78[/C][C]-0.24[/C][/ROW]
[ROW][C]%G[/C][C]0.183[/C][C]-0.037[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Rotated Factor Loadings
VariablesFactor1Factor2
Sample_Scale-0.4190.633
Type_Organizer-0.0690.583
Absolute_Relative0.712-0.116
Variables2Indicator0.175-0.302
Level_Synthesis0.836-0.263
%P0.030.782
%S-0.356-0.561
%R0.584-0.125
%C-0.789-0.301
%N-0.2650.799
%H-0.634-0.51
%E0.78-0.24
%G0.183-0.037


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 2 ;
Parameters (R input):
par1 = 2 ;
R code (references can be found in the software module):
par1 <- '2'
library(psych)
par1 <- as.numeric(par1)
x <- t(x)
nrows <- length(x[,1])
ncols <- length(x[1,])
y <- array(as.double(x[1:nrows,2:ncols]),dim=c(nrows,ncols-1))
colnames(y) <- colnames(x)[2:ncols]
rownames(y) <- x[,1]
y
fit <- principal(y, nfactors=par1, rotate='varimax')
fit
fs <- factor.scores(y,fit)
fs
bitmap(file='test2.png')
plot(fs$scores,pch=20)
text(fs$scores,labels=rownames(y),pos=3)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Rotated Factor Loadings',par1+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variables',1,TRUE)
for (i in 1:par1) {
a<-table.element(a,paste('Factor',i,sep=''),1,TRUE)
}
a<-table.row.end(a)
for (j in 1:length(fit$loadings[,1])) {
a<-table.row.start(a)
a<-table.element(a,rownames(fit$loadings)[j],header=TRUE)
for (i in 1:par1) {
a<-table.element(a,round(fit$loadings[j,i],3))
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')